activity
20192026
most citedOmni-swarm: A Decentralized Omnidirectional Visual-Inertial-UWB State Estimation System for Aerial Swarms

157 citations · 169 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

Socialized UAV Cross-Task Learning: Towards Cross-Granularity Collaboration through Hierarchical Interaction

Xinjie Yao, Ruipu Zhao, Yunqi Zhu +6

Joint learning across heterogeneous tasks is often treated as task coupling through feature sharing, distillation, or auxiliary supervision. However, in cross-task learning, mismat…

cs.CV2026

UniDiffFusion: A Unified Diffusion Framework for Multi-Task and Degradation-Robust Image Fusion

Xingxin Xu, Siqi Zhao, Xin Li +3

General image fusion aims to integrate complementary information from multiple source images, but existing methods often rely on task-specific models and struggle to maintain robus…

cs.CV2026

A-PAIR: A Benchmark and Identity-Consistent Grounding Framework for Air-Ground Cross-View Referring Person Detection

Zhoupeng Guo, Xinjie Yao, Yunqi Zhu +6

Air-ground cross-view referring person detection is a necessary component in the language-to-perception-to-control chain of collective embodied intelligence, grounding a language c…

cs.CV2026

Socialized Detector Learning: Trajectory-Guided and Reciprocal Distillation for Heterogeneous Object Detectors

Weihao Li, Yunqi Zhu, Zhihe Fan +5

Object detection knowledge is fragmented across independently trained, heterogeneous detectors with complementary category supports. In socialized learning, this knowledge resides…

cs.CV2026

A2DINOv3: Rethinking Multi-Modal Object Detection via Socialized Collaboration

Jiekang Feng, Zhihe Fan, Yunqi Zhu +6

Multi-modal object detection is essential for robust scene understanding in challenging conditions, including low-light and adverse environments. Recent vision foundation models (e…

cs.CV2026

Rethinking Air-Ground Collaboration: A Progressive Cross-Task Benchmark and Socialized Learning Framework

Zhoupeng Guo, Yunqi Zhu, Zhihe Fan +6

Air-ground collaborative perception is crucial for robust visual understanding in real-world dynamic environments. However, existing studies typically formulate collaboration as si…